We’ll first define data mining: it’s sort of like regular mining, locate the raw material (raw datasets) and extract gems (valuable business information).
In terms of examples it can vary between as high stakes as what is the false negative rate of a medical diagnosis (ex. Covid test) for future improvement. Or something as low stakes as what is the average click-through rate of my recent email campaign.
Both use statistics to determine the success and failure of a certain product, this way engineers or research scientist (Covid rate) have supported data to understand if or how they can change their product to benefit more users.